code: def get_best_results(hparams):
      """Summary of the current best results."""
      tokens = []
      for metric in hparams.metrics:
          tokens.append(
              "%s %.2f" % (metric, getattr(hparams, "best_" + metric))
          )
      return ", ".join(tokens)
  
imports: from __future__ import print_function
  import math
  import os
  import random
  import time
  import tensorflow
  from .None import inference, gnmt_model
  from .gnmt import attention_model, model
  from .gnmt import model_helper
  from .gnmt.utils import nmt_utils, misc_utils
label_desc: Use image node_id 16 for calling a global function with example usage: get_best_results(hparams) and returns: str